| 43 | namespace opencl |
| 44 | { |
| 45 | void ClConcatenate::configure(const CLCompileContext &compile_context, |
| 46 | const std::vector<ITensorInfo *> &src_vector, |
| 47 | ITensorInfo *dst, |
| 48 | size_t axis) |
| 49 | { |
| 50 | ARM_COMPUTE_ERROR_ON(dst == nullptr); |
| 51 | ARM_COMPUTE_LOG_PARAMS(src_vector, dst, axis); |
| 52 | _axis = axis; |
| 53 | _num_inputs = src_vector.size(); |
| 54 | |
| 55 | TensorShape dst_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(src_vector, _axis); |
| 56 | std::vector<const ITensorInfo *> const_src_vector(src_vector.size()); |
| 57 | std::transform(src_vector.begin(), src_vector.end(), const_src_vector.begin(), |
| 58 | [](ITensorInfo *t) |
| 59 | { |
| 60 | ARM_COMPUTE_ERROR_ON_NULLPTR(t); |
| 61 | return t; |
| 62 | }); |
| 63 | |
| 64 | // dst auto inizialitation if not yet initialized |
| 65 | auto_init_if_empty(*dst, dst_shape, 1, src_vector[0]->data_type()); |
| 66 | ARM_COMPUTE_ERROR_THROW_ON(ClConcatenate::validate(const_src_vector, dst, axis)); |
| 67 | |
| 68 | unsigned int offset = 0; |
| 69 | switch (_axis) |
| 70 | { |
| 71 | case Window::DimX: |
| 72 | { |
| 73 | switch (_num_inputs) |
| 74 | { |
| 75 | case 2: |
| 76 | { |
| 77 | // Configure WidthConcatenate2Tensors kernel |
| 78 | auto kernel = std::make_unique<kernels::ClWidthConcatenate2TensorsKernel>(); |
| 79 | kernel->configure(compile_context, src_vector.at(0), src_vector.at(1), dst); |
| 80 | _concat_kernels.emplace_back(std::move(kernel)); |
| 81 | break; |
| 82 | } |
| 83 | case 4: |
| 84 | { |
| 85 | // Configure WidthConcatenate4Tensors kernel |
| 86 | auto kernel = std::make_unique<kernels::ClWidthConcatenate4TensorsKernel>(); |
| 87 | kernel->configure(compile_context, src_vector.at(0), src_vector.at(1), src_vector.at(2), |
| 88 | src_vector.at(3), dst); |
| 89 | _concat_kernels.emplace_back(std::move(kernel)); |
| 90 | break; |
| 91 | } |
| 92 | default: |
| 93 | { |
| 94 | // Configure generic case WidthConcatenate kernels |
| 95 | for (unsigned int i = 0; i < _num_inputs; ++i) |
| 96 | { |
| 97 | auto kernel = std::make_unique<kernels::ClWidthConcatenateKernel>(); |
| 98 | kernel->configure(compile_context, src_vector.at(i), offset, dst); |
| 99 | offset += src_vector.at(i)->dimension(_axis); |
| 100 | _concat_kernels.emplace_back(std::move(kernel)); |
| 101 | } |
| 102 | break; |
nothing calls this directly
no test coverage detected